Login


Game Center
Checkers
22-32-6, 50pts
2
FINAL
3 IceHawks
18-38-7, 43pts
Team Stats
L2StreakW1
13-17-1Home Record9-16-5
9-15-5Away Record9-22-2
2-7-1Last 10 Games2-7-1
2.35Goals Per Game2.03
3.23Goals Against Per Game3.21
17.47%Power Play Percentage13.47%
85.71%Penalty Kill Percentage85.38%
BaronsOKC
32-26-1, 65pts
3
FINAL
2 Checkers
22-32-6, 50pts
Team Stats
W2StreakL2
18-12-1Home Record13-17-1
14-14-0Away Record9-15-5
5-4-1Last 10 Games2-7-1
3.66Goals Per Game2.35
3.49Goals Against Per Game3.23
14.46%Power Play Percentage17.47%
80.33%Penalty Kill Percentage85.71%
Checkers
22-32-6, 50pts
Day 134
WolfPack
21-29-9, 51pts
Team Stats
L2StreakL1
13-17-1Home Record10-16-5
9-15-5Away Record11-13-4
2-7-1Last 10 Games7-3-0
2.35Goals Per Game2.71
3.23Goals Against Per Game2.90
17.47%Power Play Percentage16.01%
85.71%Penalty Kill Percentage82.01%
Griffins
20-32-7, 47pts
Day 135
Checkers
22-32-6, 50pts
Team Stats
OTW1StreakL2
12-17-2Home Record13-17-1
8-15-5Away Record9-15-5
4-4-2Last 10 Games2-7-1
2.53Goals Per Game2.35
3.20Goals Against Per Game3.23
24.54%Power Play Percentage17.47%
82.43%Penalty Kill Percentage85.71%
Checkers
22-32-6, 50pts
Day 137
Bandits
39-17-7, 85pts
Team Stats
L2StreakW4
13-17-1Home Record18-7-5
9-15-5Away Record21-10-2
2-7-1Last 10 Games5-2-3
2.35Goals Per Game4.08
3.23Goals Against Per Game3.35
17.47%Power Play Percentage13.43%
85.71%Penalty Kill Percentage84.31%
Team Leaders
James HamblinGoals
James Hamblin
17
James HamblinAssists
James Hamblin
28
James HamblinPoints
James Hamblin
45
Dryden HuntPlus/Minus
Dryden Hunt
-1
Jesper VikmanWins
Jesper Vikman
12
Thomas MilicSave Percentage
Thomas Milic
0.891

Team Stats
Goals For
141
2.35 GFG
Shots For
1243
20.72 Avg
Power Play Percentage
17.5%
40 GF
Offensive Zone Start
38.8%
Goals Against
194
3.23 GAA
Shots Against
1717
28.62 Avg
Penalty Kill Percentage
85.7%
46 GA
Defensive Zone Start
40.2%
Team Info
General ManagerJean-Francis Grondin
CoachRyan Warsofsky
DivisionCentral
ConferenceWestern
CaptainRobert Bortuzzo
Assistant #1Jaycob Megna
Assistant #2Chase DeLeo
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team26
Farm Team18
Contract Limit44 / 50
Prospects26
Team History
This Season22-32-6 (50PTS)
History111-158-22 (0.381%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Dryden HuntX100.009954748459605066407057704082714523650302575,000$
2Justin BrazeauX100.0078618575877495574052626540767560206402711,900,000$
3Beck MalenstynX100.009956827572729550404654704076746020620271900,000$
4James HamblinX100.005143818348605061706261709974676520620261786,500$
5Julien GauthierX100.0095598475826050594052656040786955206202821,000,000$
6Mitchell ChaffeeX100.008753847865758856404765584076766020620271847,000$
7Matt RempeX100.009991587599697253405056654068698019620231700,000$
8Zack MacEwenX100.009588707583675751404458644080745020600292800,000$
9Raphael LavoieX100.0080687175776050514040635340726670205702511,119,250$
10Brandon BiroX100.005350837844655550406139589076716020560271786,500$
11Chase DeLeo (A)X100.007542897555605044404444574082714520540301600,000$
12Scott ReedyX100.0049528475736050404036436640746765225302611,001,000$
13Reese JohnsonX100.009967747559645435403536564076706020520271847,000$
14Sam MalinskiX100.0058458679547695544051587540767660286602741,250,000$
15Robert Bortuzzo (C)X100.0069776475726855504050506840948115196403631,000,000$
16Jaycob Megna (A)X100.007259837583686336403834704088783020630333950,000$
17Ty Nelson (R)X100.006150778956767145405040704064709020630212750,000$
18Ville HeinolaX100.0050448675527455474045507540707275206102411,119,250$
19John LudvigX100.0091837775705550424049346540726470186002511,119,250$
20Filip RoosX100.005950787569726735404130604074736516580261695,750$
Scratches
1Maxim GroshevX100.005445837564655538403045599970687520520242925,000$
2Jacob PerreaultX100.0065567175596050384041365099686480205102311,119,250$
TEAM AVERAGE 100.00745978776766634841474964507671612060
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jesper Vikman100.00815060945050505050505068598018570231750,000$
2Thomas Milic100.00905060825050505050505066588525570222925,000$
Scratches
1Dylan Ferguson100.00755060865050505050504076636020570272575,000$
2Ty Young (R)100.00755060875050505050504064579020560212750,000$
TEAM AVERAGE100.0080506087505050505050456959792157
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Warsofsky87686878735094USA382200,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1James HamblinCheckers (Fla)C60172845-11002153127349113.39%12102817.155813321690001611157.00%123500000.8701000423
2Beck MalenstynCheckers (Fla)LW55151732-24401387694267515.96%1190816.525611251660001373139.34%6100000.7000000216
3Justin BrazeauCheckers (Fla)RW55141832-7160437195248014.74%9116921.2676132615701162834153.76%9300000.5514000261
4Mitchell ChaffeeCheckers (Fla)C60171532-23206385108409015.74%1296116.03347209320231510342.60%43900000.6704000512
5Dryden HuntCheckers (Fla)C41121931-150013712984255714.29%1681920.003582010810141770246.11%55300010.7634000532
6Ville HeinolaCheckers (Fla)D6082129-1540307167244811.94%71124120.703710311550111236100.00%000000.4700000051
7Robert BortuzzoCheckers (Fla)D6071825-21150202295567123710.45%66126821.1421012401690002215000.00%000000.3900022303
8Ty NelsonCheckers (Fla)D6042024-22380122705920386.78%89138223.044610441930110258000.00%000000.3500000132
9Sam MalinskiCheckers (Fla)D2671219-6160433440182817.50%4860323.2344826970112111100.00%000000.6300000422
10Jaycob MegnaCheckers (Fla)D6011415-1572017340236164.35%67116119.360229900001167000.00%000000.2600000113
11John LudvigCheckers (Fla)D4611011-69751833212698.33%4169215.04000318000036000.00%000000.3200100301
12Chase DeLeoCheckers (Fla)LW603710-2334047554011417.50%1191215.21123610000001012035.11%9400000.2200000030
13Julien GauthierCheckers (Fla)RW605510-175401267410736634.67%1382213.7100083500021460040.68%5900000.2402000111
14Brandon BiroCheckers (Fla)RW60369-224011675616295.36%1071711.960226960000182044.07%5900000.2500000000
15Zack MacEwenCheckers (Fla)LW27325-331529232682011.54%22258.3500008000012070.00%1000000.4400001100
16Raphael LavoieCheckers (Fla)RW60235-184156141607393.33%25569.27000531000021044.29%21900000.1800000002
17Scott ReedyCheckers (Fla)C32224-500017233208.70%02557.9800021000030049.43%17400000.3100000020
18Reese JohnsonCheckers (Fla)C8101-16013830033.33%0749.2700000000001043.75%6400000.2700000010
19Filip RoosCheckers (Fla)D2000-200110000.00%1136.670000000003000.00%000000.0000000000
20Matt RempeCheckers (Fla)C2000-160020020.00%1126.1400000000060046.67%1500000.0000000000
21Maxim GroshevCheckers (Fla)LW43000-144052115490.00%34179.7200004000010034.78%2300000.0000000000
Team Total or Average937122217339-2146993514561125110632079211.03%4851524616.27376299303169934723202118849.58%309800010.44415123323129
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jesper VikmanCheckers (Fla)36121820.8863.081965001018850201.00073228052
2Thomas MilicCheckers (Fla)31101440.8913.27167200918320100.62582832123
Team Total or Average67223260.8883.1736380019217170300.800156060175


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Beck MalenstynCheckers (Fla)LW271998-02-04No209 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
UFA
Link / NHL Link
Brandon BiroCheckers (Fla)RW271998-03-11No170 Lbs5 ft11NoNoNo1Pro & Farm786,500$0$0$No
UFA
Link / NHL Link
Chase DeLeoCheckers (Fla)LW301995-10-25No195 Lbs5 ft10NoNoNo1Pro & Farm600,000$0$0$No
UFA
Link / NHL Link
Dryden HuntCheckers (Fla)C301995-11-24No195 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
UFA
Link / NHL Link
Dylan FergusonCheckers (Fla)G271998-09-20No183 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
UFA
Link / NHL Link
Filip RoosCheckers (Fla)D261999-01-05No200 Lbs6 ft4NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
Jacob PerreaultCheckers (Fla)RW232002-04-15No196 Lbs6 ft0NoNoNo1Pro & Farm1,119,250$0$0$No
RFA
Link / NHL Link
James HamblinCheckers (Fla)C261999-04-27No185 Lbs5 ft9NoNoNo1Pro & Farm786,500$0$0$No
RFA
Link / NHL Link
Jaycob MegnaCheckers (Fla)D331992-12-10No220 Lbs6 ft6NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
UFA
Link / NHL Link
Jesper VikmanCheckers (Fla)G232002-03-11No205 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
John LudvigCheckers (Fla)D252000-08-02No213 Lbs6 ft1NoNoNo1Pro & Farm1,119,250$0$0$No
RFA
Link / NHL Link
Julien GauthierCheckers (Fla)RW281997-10-15No226 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
UFA
Link / NHL Link
Justin BrazeauCheckers (Fla)RW271998-02-02No227 Lbs6 ft6NoNoNo1Pro & Farm1,900,000$0$0$No
UFA
Link / NHL Link
Matt RempeCheckers (Fla)C232002-06-29No255 Lbs6 ft9NoNoNo1Pro & Farm700,000$0$0$No
RFA
Link / NHL Link
Maxim GroshevCheckers (Fla)LW242001-12-14No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Mitchell ChaffeeCheckers (Fla)C271998-01-26No204 Lbs6 ft1NoNoNo1Pro & Farm847,000$0$0$No
UFA
Link / NHL Link
Raphael LavoieCheckers (Fla)RW252000-09-25No215 Lbs6 ft4NoNoNo1Pro & Farm1,119,250$0$0$No
RFA
Link / NHL Link
Reese JohnsonCheckers (Fla)C271998-07-10No192 Lbs6 ft1NoNoNo1Pro & Farm847,000$0$0$No
UFA
Link / NHL Link
Robert BortuzzoCheckers (Fla)D361989-03-18No206 Lbs6 ft4NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
UFA
Link / NHL Link
Sam MalinskiCheckers (Fla)D271998-07-27No190 Lbs5 ft11NoNoNo4Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$1,250,000$
UFA
Link / NHL Link
Scott ReedyCheckers (Fla)C261999-04-04No216 Lbs6 ft2NoNoNo1Pro & Farm1,001,000$0$0$No
RFA
Link / NHL Link
Thomas MilicCheckers (Fla)G222003-04-14No180 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Ty NelsonCheckers (Fla)D212004-03-30Yes198 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Link / NHL Link
Ty YoungCheckers (Fla)G212004-09-11Yes181 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Link / NHL Link
Ville HeinolaCheckers (Fla)D242001-03-02No181 Lbs6 ft0NoNoNo1Pro & Farm1,119,250$0$0$No
RFA
Link / NHL Link
Zack MacEwenCheckers (Fla)LW291996-07-08No227 Lbs6 ft4NoNoNo2Pro & Farm800,000$0$0$No800,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2626.31203 Lbs6 ft21.58915,029$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Beck MalenstynDryden HuntJustin Brazeau40122
2Zack MacEwenJames HamblinJulien Gauthier30122
3Chase DeLeoMitchell ChaffeeRaphael Lavoie20122
4Dryden HuntMatt RempeBrandon Biro10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Robert Bortuzzo40122
2Ty NelsonJaycob Megna30122
3Ville HeinolaJohn Ludvig20122
4Filip Roos10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Beck MalenstynDryden HuntJustin Brazeau60122
2Zack MacEwenJames HamblinJulien Gauthier40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Robert Bortuzzo60122
2Ty NelsonJaycob Megna40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dryden HuntJustin Brazeau60122
2Beck MalenstynJames Hamblin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Robert Bortuzzo60122
2Ty NelsonJaycob Megna40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dryden Hunt60122Robert Bortuzzo60122
2Justin Brazeau40122Ty NelsonJaycob Megna40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dryden HuntJustin Brazeau60122
2Beck MalenstynJames Hamblin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Robert Bortuzzo60122
2Ty NelsonJaycob Megna40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Beck MalenstynDryden HuntJustin BrazeauRobert Bortuzzo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Beck MalenstynDryden HuntJustin BrazeauRobert Bortuzzo
Extra Forwards
Normal PowerPlayPenalty Kill
Scott Reedy, Mitchell Chaffee, Matt RempeScott Reedy, Mitchell ChaffeeMatt Rempe
Extra Defensemen
Normal PowerPlayPenalty Kill
Ville Heinola, John Ludvig, Filip RoosVille HeinolaJohn Ludvig, Filip Roos
Penalty Shots
Dryden Hunt, Justin Brazeau, Beck Malenstyn, James Hamblin, Julien Gauthier
Goalie
#1 : Jesper Vikman, #2 : Thomas Milic


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bandits41201000911-23110100078-11010000023-140.500918270058393798543539340724115304712114321.43%20290.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
2BaronsOKC3120000068-2211000005501010000013-220.33361117005839379704353934072410035288513323.08%14285.71%1854164751.85%840170649.24%46889052.58%147810211426418737374
3Cyclones2010010035-21010000023-11000010012-110.2503580058393793143539340724731129567114.29%12283.33%0854164751.85%840170649.24%46889052.58%147810211426418737374
4Darkness11000000321110000003210000000000021.00036900583937917435393407241791819400.00%80100.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
5Draveurs413000001018-81100000043130300000615-920.2501017270058393799543539340724162425412317423.53%26292.31%0854164751.85%840170649.24%46889052.58%147810211426418737374
6Eagles40300010611-52020000015-42010001056-120.250610160058393796143539340724892955997114.29%19478.95%0854164751.85%840170649.24%46889052.58%147810211426418737374
7EvilSharks1010000024-21010000024-20000000000000.000246005839379174353934072426712184125.00%6266.67%0854164751.85%840170649.24%46889052.58%147810211426418737374
8HC1010000017-6000000000001010000017-600.000123005839379164353934072437301028400.00%50100.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
9IceBears53001100181442100100075232000100119290.90018314900583937913543539340724146536613123730.43%31487.10%0854164751.85%840170649.24%46889052.58%147810211426418737374
10IceHawks3120000067-11010000012-12110000055020.33369150058393797143539340724671538691000.00%19478.95%0854164751.85%840170649.24%46889052.58%147810211426418737374
11Iceberg623000011624-831200000712-531100001912-350.41716294500583937911843539340724196518914518316.67%35682.86%0854164751.85%840170649.24%46889052.58%147810211426418737374
12Magics11000000431110000004310000000000021.000461000583937923435393407241764286350.00%20100.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
13Mighty Ducks4210010013103311001009811100000042250.6251324370058393791054353934072412340339629724.14%15286.67%0854164751.85%840170649.24%46889052.58%147810211426418737374
14National1000000112-1000000000001000000112-110.5001230058393791243539340724159430200.00%2150.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
15Nordiques1010000015-41010000015-40000000000000.00011200583937984353934072430131317200.00%4175.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
16Oceanic1010000025-31010000025-30000000000000.0002350058393792643539340724166828100.00%40100.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
17Pantheres1010000013-21010000013-20000000000000.00012300583937933435393407242231230200.00%6266.67%0854164751.85%840170649.24%46889052.58%147810211426418737374
18Remparts30200100714-71010000014-320100100610-410.1677121900583937961435393407241122440981317.69%20575.00%1854164751.85%840170649.24%46889052.58%147810211426418737374
19Roadrunners2020000028-61010000002-21010000026-400.0002460058393793543539340724581626455120.00%13284.62%0854164751.85%840170649.24%46889052.58%147810211426418737374
20Sagueneens31200000711-41010000035-22110000046-220.333713200058393796843539340724782238661218.33%17288.24%0854164751.85%840170649.24%46889052.58%147810211426418737374
21Senators10001000211100010002110000000000021.0002460058393792343539340724213820100.00%30100.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
22Spiders10000010321000000000001000001032121.000347005839379194353934072431816217114.29%6183.33%0854164751.85%840170649.24%46889052.58%147810211426418737374
23Thunder1010000024-21010000024-20000000000000.000235005839379943539340724411418228112.50%90100.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
24Vikings21100000642110000005231010000012-120.500610160058393794643539340724401110441000.00%4175.00%0854164751.85%840170649.24%46889052.58%147810211426418737374
25WolfPack30101010761100000105412010100022040.66779160058393794143539340724562349676233.33%170100.00%1854164751.85%840170649.24%46889052.58%147810211426418737374
26Wolves1010000035-2000000000001010000035-200.00035800583937918435393407242981025400.00%5180.00%1854164751.85%840170649.24%46889052.58%147810211426418737374
Total60153204432141194-5331917031107495-2129615013226799-32500.417141244385005839379124343539340724171751873515312294017.47%3224685.71%4854164751.85%840170649.24%46889052.58%147810211426418737374
_Since Last GM Reset60153204432141194-5331917031107495-2129615013226799-32500.417141244385005839379124343539340724171751873515312294017.47%3224685.71%4854164751.85%840170649.24%46889052.58%147810211426418737374
_Vs Conference44112303421105145-4022711021105466-1222412013115179-28370.42010518328800583937990743539340724133740854911551683319.64%2353385.96%3854164751.85%840170649.24%46889052.58%147810211426418737374
_Vs Division15712032213740-3847020101821-37350121119190270.900376510200583937935543539340724423112192407561119.64%881484.09%0854164751.85%840170649.24%46889052.58%147810211426418737374

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
6050L214124438512431717518735153100
All Games
GPWLOTWOTL SOWSOLGFGA
6015324432141194
Home Games
GPWLOTWOTL SOWSOLGFGA
3191731107495
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2961513226799
Last 10 Games
WLOTWOTL SOWSOL
270100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2294017.47%3224685.71%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
435393407245839379
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
854164751.85%840170649.24%46889052.58%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
147810211426418737374


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
11Mighty Ducks3Checkers1BLBoxScore
318Checkers1BaronsOKC3ALBoxScore
640Checkers1Cyclones2ALXBoxScore
850WolfPack4Checkers5BWXXBoxScore
1170Checkers2Eagles4ALBoxScore
1382IceBears3Checkers4BWXBoxScore
1594Checkers2WolfPack1AWXBoxScore
17110Iceberg4Checkers2BLBoxScore
21137Cyclones3Checkers2BLBoxScore
22143Checkers3IceBears4ALXBoxScore
26170Bandits3Checkers0BLBoxScore
29186Checkers2Bandits3ALBoxScore
31200BaronsOKC2Checkers3BWBoxScore
33218Checkers5Remparts6ALXBoxScore
34230Eagles3Checkers1BLBoxScore
36240Checkers3Iceberg6ALBoxScore
38262Iceberg6Checkers1BLBoxScore
41283IceBears2Checkers3BWBoxScore
44304Checkers4Draveurs5ALBoxScore
46315Vikings2Checkers5BWBoxScore
48334Checkers3Iceberg4ALXXBoxScore
49336Checkers3IceHawks2AWBoxScore
52356Eagles2Checkers0BLBoxScore
54372Checkers1National2ALXXBoxScore
56385Iceberg2Checkers4BWBoxScore
59410Oceanic5Checkers2BLBoxScore
62433Checkers5IceBears3AWBoxScore
63444Nordiques5Checkers1BLBoxScore
66464Checkers3Spiders2AWXXBoxScore
67473Sagueneens5Checkers3BLBoxScore
69490Checkers1Vikings2ALBoxScore
71503Bandits3Checkers4BWXBoxScore
74528Thunder4Checkers2BLBoxScore
76536Checkers1Remparts4ALBoxScore
78555Checkers3Sagueneens2AWBoxScore
80567Roadrunners2Checkers0BLBoxScore
82585Checkers3Iceberg2AWBoxScore
83596IceHawks2Checkers1BLBoxScore
86616Checkers1Draveurs5ALBoxScore
87625Checkers3Eagles2AWXXBoxScore
88635Draveurs3Checkers4BWBoxScore
92660Bandits2Checkers3BWBoxScore
94676Checkers3IceBears2AWBoxScore
96689Magics3Checkers4BWBoxScore
99711Checkers1HC7ALBoxScore
101722Senators1Checkers2BWXBoxScore
104742Checkers3Wolves5ALBoxScore
105751Mighty Ducks1Checkers5BWBoxScore
108772Checkers1Draveurs5ALBoxScore
110783Pantheres3Checkers1BLBoxScore
112800Checkers2Roadrunners6ALBoxScore
114812Mighty Ducks4Checkers3BLXBoxScore
118838EvilSharks4Checkers2BLBoxScore
120853Checkers4Mighty Ducks2AWBoxScore
122871Remparts4Checkers1BLBoxScore
124881Checkers1Sagueneens4ALBoxScore
126901Checkers0WolfPack1ALBoxScore
127909Darkness2Checkers3BWBoxScore
130929Checkers2IceHawks3ALBoxScore
131938BaronsOKC3Checkers2BLBoxScore
134963Checkers-WolfPack-
135970Griffins-Checkers-
137988Checkers-Bandits-
139999Checkers-Nordiques-
1401010IceBears-Checkers-
1431031Cyclones-Checkers-
1451048Checkers-BigBadStars-
1471061Checkers-BaronsOKC-
1481068SilverKnights-Checkers-
1511086Checkers-Bandits-
1531100Cyclones-Checkers-
1551118Checkers-BaronsOKC-
1561123Checkers-Eagles-
1571134WolfPack-Checkers-
1591150Checkers-SilverKnights-
1611158Checkers-IceHogs-
1621170Checkers-Cyclones-
1631178BaronsOKC-Checkers-
1671203Checkers-Cyclones-
1681207WolfPack-Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1721232Eagles-Checkers-
1781265HC-Checkers-



Checkers Stat Leaders (Regular Season)
# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Magnus Paajarvi-Svensson1682279473752108165920252330263010.61%9142714716.1452921442726101666381353.87%100.551643
2Jeff Friesen3539198189-2514835965177511.74%93669018.952140611402242518641.23%00.56531
3Mitchell Chaffee2988575160417739537663113.47%50503116.88132538114303149843.01%20.64213
4Nikita Filatov42459971561932795676319.35%72620514.6412203211001177640.11%00.50511
5Jordan Schroeder1446680146-308123325547413.92%89316421.98162743551121210553.19%40.9228

Checkers Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Vesa Toskala142705590.8962.2782208183112984712410.86351
2Niklas Backstrom140706070.8892.7982164438234470330.79759
3Scott Darling109624070.9132.246548141224427943200.72272
4Pascal Leclaire1296053130.8982.837580476357348316571020.66748
5Jonas Johansson102514240.9022.6557684825525910030.77827

Checkers Career Team Stats
OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
203680205100540167261-944013230022092128-36407280032075133-585316729646312046635413990449474461205860583318223324413.25%3446780.52%21220202760.19%1240221855.91%686118357.99%202814101802553999522
203782293503438220235-1541151502126114116-241142001312106119-13822203765961371727110190264160963055207563786019494066516.01%3595584.68%11353238256.80%1371236657.95%713124257.41%2184154617895651019537
203878264001434211247-3639161700114116128-123910230132095119-2468211381592156973657181261058259551204961682718323394713.86%3594487.74%31297214060.61%1205214456.20%719116961.51%199314111772545962498
203960153204432141194-5331917031107495-2129615013226799-3250141244385005839379124343539340724171751873515312294017.47%3224685.71%4854164751.85%840170649.24%46889052.58%147810211426418737374
Total Regular Season3009015808171314739937-1981515372055610396467-711493786031274343470-127253739129720363101982302368063561686203321065917899237632557134130619615.01%138421284.68%104724819657.64%4656843455.21%2586448457.67%768453906791208237181932

Checkers Stat Leaders (Play-Off)
# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Magnus Paajarvi-Svensson3246810617410034644444561611.04%247534916.51132336654482111555.34%00.6500
2Jeff Friesen55141125-417421069215.22%12112620.492461510143137.26%00.4400
3Dougie Hamilton247132034283405014.00%2655523.145712360221110.00%00.7200
4Sven Baertschi2711920-51319778213.41%754920.344151310124033.88%00.7300
5Petr Cajanek135111651420434311.63%832024.65213703362066.18%01.0000

Checkers Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Rick DiPietro2413830.9101.79154421465110000.0000
2Jason Labarbera1811340.9092.8410972052574265300.0000
3Vesa Toskala189720.9071.61111803303240000.0000
4Pascal Leclaire136520.9042.757410034353186000.0000
5Scott Darling94500.8873.5554100322820000.0000